2 months ago
Lisbon, PortugalSenior
Responsibilities
- Build and ship product machine learning capabilities for send-time and frequency optimization, recommendation engines, and campaign personalization.
- Own the model lifecycle from exploratory data analysis and feature engineering through distributed training, deployment, latency monitoring, and online experimentation.
- Build and scale data pipelines and model-serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
- Partner with Backend and Platform teams to improve feature serving and overall data architecture.
- Benchmark and improve multi-armed bandit implementations and build tools to visualize and debug features and models.
- Mentor engineers and help establish engineering standards and technical direction for machine learning at Iterable.
Requirements
- At least 5 years of hands-on machine learning engineering experience deploying complex models into production at scale.
- Production experience building, optimizing, and scaling data pipelines with Databricks and Spark.
- Experience taking deep learning and ensemble architectures from training through optimization and production deployment.
- Strong Python and/or Scala skills for readable, modular, and maintainable production systems.
- Hands-on experience with microservice backends, distributed compute using Ray or Spark, and Kubernetes containers.
- Experience prioritizing serving latency, reliability, and measurable customer impact.
- Prior experience with large-scale recommendation systems is a bonus.
- Experience setting up feature stores or model observability tools is a bonus.
- Exposure to Terraform or Pulumi is a bonus.
Benefits
- Private medical insurance
- Life/risk assurance
- Meal allowance of €8.55 per day
- 22 days of paid annual leave
- Community Days
- Global Lifestyle Reimbursement Account
- Paid sabbatical
- Complete laptop workstation
- The position is based in Lisbon, Portugal
Tech Stack
Categories
About Iterable
Iterable builds an AI-powered customer engagement and marketing automation platform for consumer brands and enterprises. It unifies customer data to design, send, and optimize cross-channel campaigns across email, mobile push, SMS, in-app, and web, delivered as a SaaS subscription. Founded in 2013 and headquartered in San Francisco, the privately held company is used by organizations including Priceline, Box, Redfin, Calm, and SeatGeek.